Overview

Dataset statistics

Number of variables30
Number of observations2240
Missing cells24
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory529.5 KiB
Average record size in memory242.1 B

Variable types

Numeric17
Categorical12
DateTime1

Alerts

Z_CostContact has constant value "3"Constant
Z_Revenue has constant value "11"Constant
Age is highly overall correlated with Year_BirthHigh correlation
Income is highly overall correlated with MntFishProducts and 9 other fieldsHigh correlation
Kidhome is highly overall correlated with MntMeatProducts and 3 other fieldsHigh correlation
MntFishProducts is highly overall correlated with Income and 7 other fieldsHigh correlation
MntFruits is highly overall correlated with Income and 7 other fieldsHigh correlation
MntGoldProds is highly overall correlated with Income and 8 other fieldsHigh correlation
MntMeatProducts is highly overall correlated with Income and 9 other fieldsHigh correlation
MntSweetProducts is highly overall correlated with Income and 7 other fieldsHigh correlation
MntWines is highly overall correlated with Income and 9 other fieldsHigh correlation
NumCatalogPurchases is highly overall correlated with Income and 10 other fieldsHigh correlation
NumStorePurchases is highly overall correlated with Income and 9 other fieldsHigh correlation
NumWebPurchases is highly overall correlated with Income and 5 other fieldsHigh correlation
NumWebVisitsMonth is highly overall correlated with Income and 1 other fieldsHigh correlation
Year_Birth is highly overall correlated with AgeHigh correlation
AcceptedCmp3 is highly imbalanced (62.4%)Imbalance
AcceptedCmp4 is highly imbalanced (61.7%)Imbalance
AcceptedCmp5 is highly imbalanced (62.4%)Imbalance
AcceptedCmp1 is highly imbalanced (65.6%)Imbalance
AcceptedCmp2 is highly imbalanced (89.7%)Imbalance
Complain is highly imbalanced (92.3%)Imbalance
Income has 24 (1.1%) missing valuesMissing
ID has unique valuesUnique
Recency has 28 (1.2%) zerosZeros
MntFruits has 400 (17.9%) zerosZeros
MntFishProducts has 384 (17.1%) zerosZeros
MntSweetProducts has 419 (18.7%) zerosZeros
MntGoldProds has 61 (2.7%) zerosZeros
NumDealsPurchases has 46 (2.1%) zerosZeros
NumWebPurchases has 49 (2.2%) zerosZeros
NumCatalogPurchases has 586 (26.2%) zerosZeros

Reproduction

Analysis started2024-06-20 19:56:56.548000
Analysis finished2024-06-20 19:58:12.521206
Duration1 minute and 15.97 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

ID
Real number (ℝ)

UNIQUE 

Distinct2240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5592.1598
Minimum0
Maximum11191
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile576.85
Q12828.25
median5458.5
Q38427.75
95-th percentile10675.05
Maximum11191
Range11191
Interquartile range (IQR)5599.5

Descriptive statistics

Standard deviation3246.6622
Coefficient of variation (CV)0.58057393
Kurtosis-1.190028
Mean5592.1598
Median Absolute Deviation (MAD)2791
Skewness0.039831873
Sum12526438
Variance10540815
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5524 1
 
< 0.1%
6885 1
 
< 0.1%
3478 1
 
< 0.1%
7494 1
 
< 0.1%
1763 1
 
< 0.1%
7250 1
 
< 0.1%
2005 1
 
< 0.1%
10770 1
 
< 0.1%
2072 1
 
< 0.1%
9743 1
 
< 0.1%
Other values (2230) 2230
99.6%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
9 1
< 0.1%
13 1
< 0.1%
17 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
35 1
< 0.1%
ValueCountFrequency (%)
11191 1
< 0.1%
11188 1
< 0.1%
11187 1
< 0.1%
11181 1
< 0.1%
11178 1
< 0.1%
11176 1
< 0.1%
11171 1
< 0.1%
11166 1
< 0.1%
11148 1
< 0.1%
11133 1
< 0.1%

Year_Birth
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1968.8058
Minimum1893
Maximum1996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum1893
5-th percentile1950
Q11959
median1970
Q31977
95-th percentile1988
Maximum1996
Range103
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.984069
Coefficient of variation (CV)0.0060869739
Kurtosis0.71746444
Mean1968.8058
Median Absolute Deviation (MAD)9
Skewness-0.34994386
Sum4410125
Variance143.61792
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1976 89
 
4.0%
1971 87
 
3.9%
1975 83
 
3.7%
1972 79
 
3.5%
1978 77
 
3.4%
1970 77
 
3.4%
1973 74
 
3.3%
1965 74
 
3.3%
1969 71
 
3.2%
1974 69
 
3.1%
Other values (49) 1460
65.2%
ValueCountFrequency (%)
1893 1
 
< 0.1%
1899 1
 
< 0.1%
1900 1
 
< 0.1%
1940 1
 
< 0.1%
1941 1
 
< 0.1%
1943 7
0.3%
1944 7
0.3%
1945 8
0.4%
1946 16
0.7%
1947 16
0.7%
ValueCountFrequency (%)
1996 2
 
0.1%
1995 5
 
0.2%
1994 3
 
0.1%
1993 5
 
0.2%
1992 13
0.6%
1991 15
0.7%
1990 18
0.8%
1989 30
1.3%
1988 29
1.3%
1987 27
1.2%

Income
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1974
Distinct (%)89.1%
Missing24
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean52247.251
Minimum1730
Maximum666666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum1730
5-th percentile18985.5
Q135303
median51381.5
Q368522
95-th percentile84130
Maximum666666
Range664936
Interquartile range (IQR)33219

Descriptive statistics

Standard deviation25173.077
Coefficient of variation (CV)0.48180672
Kurtosis159.6367
Mean52247.251
Median Absolute Deviation (MAD)16557.5
Skewness6.7634874
Sum1.1577991 × 108
Variance6.3368379 × 108
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7500 12
 
0.5%
35860 4
 
0.2%
37760 3
 
0.1%
83844 3
 
0.1%
63841 3
 
0.1%
18929 3
 
0.1%
47025 3
 
0.1%
34176 3
 
0.1%
48432 3
 
0.1%
80134 3
 
0.1%
Other values (1964) 2176
97.1%
(Missing) 24
 
1.1%
ValueCountFrequency (%)
1730 1
< 0.1%
2447 1
< 0.1%
3502 1
< 0.1%
4023 1
< 0.1%
4428 1
< 0.1%
4861 1
< 0.1%
5305 1
< 0.1%
5648 1
< 0.1%
6560 1
< 0.1%
6835 1
< 0.1%
ValueCountFrequency (%)
666666 1
< 0.1%
162397 1
< 0.1%
160803 1
< 0.1%
157733 1
< 0.1%
157243 1
< 0.1%
157146 1
< 0.1%
156924 1
< 0.1%
153924 1
< 0.1%
113734 1
< 0.1%
105471 1
< 0.1%

Kidhome
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
1293 
1
899 
2
 
48

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 1293
57.7%
1 899
40.1%
2 48
 
2.1%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 1293
57.7%
1 899
40.1%
2 48
 
2.1%

Most occurring characters

ValueCountFrequency (%)
0 1293
57.7%
1 899
40.1%
2 48
 
2.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1293
57.7%
1 899
40.1%
2 48
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1293
57.7%
1 899
40.1%
2 48
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1293
57.7%
1 899
40.1%
2 48
 
2.1%

Teenhome
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
1158 
1
1030 
2
 
52

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1158
51.7%
1 1030
46.0%
2 52
 
2.3%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 1158
51.7%
1 1030
46.0%
2 52
 
2.3%

Most occurring characters

ValueCountFrequency (%)
0 1158
51.7%
1 1030
46.0%
2 52
 
2.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1158
51.7%
1 1030
46.0%
2 52
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1158
51.7%
1 1030
46.0%
2 52
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1158
51.7%
1 1030
46.0%
2 52
 
2.3%
Distinct663
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
Minimum2012-07-30 00:00:00
Maximum2014-06-29 00:00:00
Mini histogram
Histogram
Histogram with fixed size bins (bins=50)

Recency
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.109375
Minimum0
Maximum99
Zeros28
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile4
Q124
median49
Q374
95-th percentile94
Maximum99
Range99
Interquartile range (IQR)50

Descriptive statistics

Standard deviation28.962453
Coefficient of variation (CV)0.58975405
Kurtosis-1.2018968
Mean49.109375
Median Absolute Deviation (MAD)25
Skewness-0.0019866586
Sum110005
Variance838.82367
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 37
 
1.7%
30 32
 
1.4%
54 32
 
1.4%
46 31
 
1.4%
92 30
 
1.3%
49 30
 
1.3%
65 30
 
1.3%
3 29
 
1.3%
29 29
 
1.3%
71 29
 
1.3%
Other values (90) 1931
86.2%
ValueCountFrequency (%)
0 28
1.2%
1 24
1.1%
2 28
1.2%
3 29
1.3%
4 27
1.2%
5 15
0.7%
6 21
0.9%
7 12
0.5%
8 25
1.1%
9 24
1.1%
ValueCountFrequency (%)
99 17
0.8%
98 22
1.0%
97 20
0.9%
96 25
1.1%
95 19
0.8%
94 26
1.2%
93 21
0.9%
92 30
1.3%
91 18
0.8%
90 20
0.9%

MntWines
Real number (ℝ)

HIGH CORRELATION 

Distinct776
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.93571
Minimum0
Maximum1493
Zeros13
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile3
Q123.75
median173.5
Q3504.25
95-th percentile1000
Maximum1493
Range1493
Interquartile range (IQR)480.5

Descriptive statistics

Standard deviation336.59739
Coefficient of variation (CV)1.1074625
Kurtosis0.59874359
Mean303.93571
Median Absolute Deviation (MAD)164.5
Skewness1.1757706
Sum680816
Variance113297.8
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 42
 
1.9%
5 40
 
1.8%
1 37
 
1.7%
6 37
 
1.7%
4 33
 
1.5%
8 30
 
1.3%
3 30
 
1.3%
9 28
 
1.2%
12 25
 
1.1%
10 24
 
1.1%
Other values (766) 1914
85.4%
ValueCountFrequency (%)
0 13
 
0.6%
1 37
1.7%
2 42
1.9%
3 30
1.3%
4 33
1.5%
5 40
1.8%
6 37
1.7%
7 22
1.0%
8 30
1.3%
9 28
1.2%
ValueCountFrequency (%)
1493 1
< 0.1%
1492 2
0.1%
1486 1
< 0.1%
1478 2
0.1%
1462 1
< 0.1%
1459 1
< 0.1%
1449 1
< 0.1%
1396 1
< 0.1%
1394 1
< 0.1%
1379 1
< 0.1%

MntFruits
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct158
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.302232
Minimum0
Maximum199
Zeros400
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q333
95-th percentile123
Maximum199
Range199
Interquartile range (IQR)32

Descriptive statistics

Standard deviation39.773434
Coefficient of variation (CV)1.5121695
Kurtosis4.0509763
Mean26.302232
Median Absolute Deviation (MAD)8
Skewness2.1020633
Sum58917
Variance1581.926
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 400
 
17.9%
1 162
 
7.2%
2 120
 
5.4%
3 116
 
5.2%
4 104
 
4.6%
7 67
 
3.0%
5 65
 
2.9%
6 62
 
2.8%
12 50
 
2.2%
8 48
 
2.1%
Other values (148) 1046
46.7%
ValueCountFrequency (%)
0 400
17.9%
1 162
7.2%
2 120
 
5.4%
3 116
 
5.2%
4 104
 
4.6%
5 65
 
2.9%
6 62
 
2.8%
7 67
 
3.0%
8 48
 
2.1%
9 35
 
1.6%
ValueCountFrequency (%)
199 2
0.1%
197 1
 
< 0.1%
194 3
0.1%
193 2
0.1%
190 1
 
< 0.1%
189 1
 
< 0.1%
185 2
0.1%
184 1
 
< 0.1%
183 3
0.1%
181 1
 
< 0.1%

MntMeatProducts
Real number (ℝ)

HIGH CORRELATION 

Distinct558
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.95
Minimum0
Maximum1725
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile4
Q116
median67
Q3232
95-th percentile687.1
Maximum1725
Range1725
Interquartile range (IQR)216

Descriptive statistics

Standard deviation225.71537
Coefficient of variation (CV)1.3519938
Kurtosis5.5167241
Mean166.95
Median Absolute Deviation (MAD)59
Skewness2.0832331
Sum373968
Variance50947.429
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 53
 
2.4%
5 50
 
2.2%
11 49
 
2.2%
8 46
 
2.1%
6 43
 
1.9%
10 40
 
1.8%
3 40
 
1.8%
9 38
 
1.7%
16 36
 
1.6%
12 35
 
1.6%
Other values (548) 1810
80.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 14
 
0.6%
2 30
1.3%
3 40
1.8%
4 30
1.3%
5 50
2.2%
6 43
1.9%
7 53
2.4%
8 46
2.1%
9 38
1.7%
ValueCountFrequency (%)
1725 2
0.1%
1622 1
< 0.1%
1607 1
< 0.1%
1582 1
< 0.1%
984 1
< 0.1%
981 1
< 0.1%
974 1
< 0.1%
968 1
< 0.1%
961 1
< 0.1%
951 2
0.1%

MntFishProducts
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct182
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.525446
Minimum0
Maximum259
Zeros384
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q350
95-th percentile168.05
Maximum259
Range259
Interquartile range (IQR)47

Descriptive statistics

Standard deviation54.628979
Coefficient of variation (CV)1.4557849
Kurtosis3.0964609
Mean37.525446
Median Absolute Deviation (MAD)12
Skewness1.919769
Sum84057
Variance2984.3254
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
 
17.1%
2 156
 
7.0%
3 130
 
5.8%
4 108
 
4.8%
6 82
 
3.7%
7 66
 
2.9%
8 58
 
2.6%
10 55
 
2.5%
13 48
 
2.1%
12 47
 
2.1%
Other values (172) 1106
49.4%
ValueCountFrequency (%)
0 384
17.1%
1 10
 
0.4%
2 156
7.0%
3 130
 
5.8%
4 108
 
4.8%
5 1
 
< 0.1%
6 82
 
3.7%
7 66
 
2.9%
8 58
 
2.6%
10 55
 
2.5%
ValueCountFrequency (%)
259 1
 
< 0.1%
258 3
0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
250 3
0.1%
247 1
 
< 0.1%
246 1
 
< 0.1%
242 1
 
< 0.1%
240 2
0.1%
237 2
0.1%

MntSweetProducts
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct177
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.062946
Minimum0
Maximum263
Zeros419
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q333
95-th percentile126
Maximum263
Range263
Interquartile range (IQR)32

Descriptive statistics

Standard deviation41.280498
Coefficient of variation (CV)1.5253512
Kurtosis4.3765483
Mean27.062946
Median Absolute Deviation (MAD)8
Skewness2.1360807
Sum60621
Variance1704.0796
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 419
 
18.7%
1 161
 
7.2%
2 128
 
5.7%
3 101
 
4.5%
4 82
 
3.7%
5 65
 
2.9%
6 64
 
2.9%
7 57
 
2.5%
8 56
 
2.5%
12 45
 
2.0%
Other values (167) 1062
47.4%
ValueCountFrequency (%)
0 419
18.7%
1 161
 
7.2%
2 128
 
5.7%
3 101
 
4.5%
4 82
 
3.7%
5 65
 
2.9%
6 64
 
2.9%
7 57
 
2.5%
8 56
 
2.5%
9 42
 
1.9%
ValueCountFrequency (%)
263 1
 
< 0.1%
262 1
 
< 0.1%
198 1
 
< 0.1%
197 1
 
< 0.1%
196 1
 
< 0.1%
195 1
 
< 0.1%
194 3
0.1%
192 3
0.1%
191 1
 
< 0.1%
189 2
0.1%

MntGoldProds
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct213
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.021875
Minimum0
Maximum362
Zeros61
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q19
median24
Q356
95-th percentile165.05
Maximum362
Range362
Interquartile range (IQR)47

Descriptive statistics

Standard deviation52.167439
Coefficient of variation (CV)1.1850345
Kurtosis3.5517093
Mean44.021875
Median Absolute Deviation (MAD)18
Skewness1.8861056
Sum98609
Variance2721.4417
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 73
 
3.3%
4 70
 
3.1%
3 69
 
3.1%
5 63
 
2.8%
12 63
 
2.8%
2 62
 
2.8%
0 61
 
2.7%
6 57
 
2.5%
7 54
 
2.4%
10 49
 
2.2%
Other values (203) 1619
72.3%
ValueCountFrequency (%)
0 61
2.7%
1 73
3.3%
2 62
2.8%
3 69
3.1%
4 70
3.1%
5 63
2.8%
6 57
2.5%
7 54
2.4%
8 40
1.8%
9 44
2.0%
ValueCountFrequency (%)
362 1
< 0.1%
321 1
< 0.1%
291 1
< 0.1%
262 1
< 0.1%
249 1
< 0.1%
248 1
< 0.1%
247 1
< 0.1%
246 1
< 0.1%
245 1
< 0.1%
242 2
0.1%

NumDealsPurchases
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.325
Minimum0
Maximum15
Zeros46
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9322375
Coefficient of variation (CV)0.83106989
Kurtosis8.9369143
Mean2.325
Median Absolute Deviation (MAD)1
Skewness2.4185694
Sum5208
Variance3.7335418
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 970
43.3%
2 497
22.2%
3 297
 
13.3%
4 189
 
8.4%
5 94
 
4.2%
6 61
 
2.7%
0 46
 
2.1%
7 40
 
1.8%
8 14
 
0.6%
9 8
 
0.4%
Other values (5) 24
 
1.1%
ValueCountFrequency (%)
0 46
 
2.1%
1 970
43.3%
2 497
22.2%
3 297
 
13.3%
4 189
 
8.4%
5 94
 
4.2%
6 61
 
2.7%
7 40
 
1.8%
8 14
 
0.6%
9 8
 
0.4%
ValueCountFrequency (%)
15 7
 
0.3%
13 3
 
0.1%
12 4
 
0.2%
11 5
 
0.2%
10 5
 
0.2%
9 8
 
0.4%
8 14
 
0.6%
7 40
1.8%
6 61
2.7%
5 94
4.2%

NumWebPurchases
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0848214
Minimum0
Maximum27
Zeros49
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile9
Maximum27
Range27
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7787141
Coefficient of variation (CV)0.68025352
Kurtosis5.7031284
Mean4.0848214
Median Absolute Deviation (MAD)2
Skewness1.3827943
Sum9150
Variance7.7212523
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 373
16.7%
1 354
15.8%
3 336
15.0%
4 280
12.5%
5 220
9.8%
6 205
9.2%
7 155
6.9%
8 102
 
4.6%
9 75
 
3.3%
0 49
 
2.2%
Other values (5) 91
 
4.1%
ValueCountFrequency (%)
0 49
 
2.2%
1 354
15.8%
2 373
16.7%
3 336
15.0%
4 280
12.5%
5 220
9.8%
6 205
9.2%
7 155
6.9%
8 102
 
4.6%
9 75
 
3.3%
ValueCountFrequency (%)
27 2
 
0.1%
25 1
 
< 0.1%
23 1
 
< 0.1%
11 44
 
2.0%
10 43
 
1.9%
9 75
 
3.3%
8 102
4.6%
7 155
6.9%
6 205
9.2%
5 220
9.8%

NumCatalogPurchases
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6620536
Minimum0
Maximum28
Zeros586
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile9
Maximum28
Range28
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9231007
Coefficient of variation (CV)1.0980623
Kurtosis8.0474368
Mean2.6620536
Median Absolute Deviation (MAD)2
Skewness1.8809888
Sum5963
Variance8.5445174
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 586
26.2%
1 497
22.2%
2 276
12.3%
3 184
 
8.2%
4 182
 
8.1%
5 140
 
6.2%
6 128
 
5.7%
7 79
 
3.5%
8 55
 
2.5%
10 48
 
2.1%
Other values (4) 65
 
2.9%
ValueCountFrequency (%)
0 586
26.2%
1 497
22.2%
2 276
12.3%
3 184
 
8.2%
4 182
 
8.1%
5 140
 
6.2%
6 128
 
5.7%
7 79
 
3.5%
8 55
 
2.5%
9 42
 
1.9%
ValueCountFrequency (%)
28 3
 
0.1%
22 1
 
< 0.1%
11 19
 
0.8%
10 48
 
2.1%
9 42
 
1.9%
8 55
 
2.5%
7 79
3.5%
6 128
5.7%
5 140
6.2%
4 182
8.1%

NumStorePurchases
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7901786
Minimum0
Maximum13
Zeros15
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q38
95-th percentile12
Maximum13
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2509581
Coefficient of variation (CV)0.56146077
Kurtosis-0.62204828
Mean5.7901786
Median Absolute Deviation (MAD)2
Skewness0.70223729
Sum12970
Variance10.568729
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 490
21.9%
4 323
14.4%
2 223
10.0%
5 212
9.5%
6 178
 
7.9%
8 149
 
6.7%
7 143
 
6.4%
10 125
 
5.6%
9 106
 
4.7%
12 105
 
4.7%
Other values (4) 186
 
8.3%
ValueCountFrequency (%)
0 15
 
0.7%
1 7
 
0.3%
2 223
10.0%
3 490
21.9%
4 323
14.4%
5 212
9.5%
6 178
 
7.9%
7 143
 
6.4%
8 149
 
6.7%
9 106
 
4.7%
ValueCountFrequency (%)
13 83
 
3.7%
12 105
 
4.7%
11 81
 
3.6%
10 125
 
5.6%
9 106
 
4.7%
8 149
6.7%
7 143
6.4%
6 178
7.9%
5 212
9.5%
4 323
14.4%

NumWebVisitsMonth
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3165179
Minimum0
Maximum20
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q37
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.426645
Coefficient of variation (CV)0.45643503
Kurtosis1.8216138
Mean5.3165179
Median Absolute Deviation (MAD)2
Skewness0.20792556
Sum11909
Variance5.888606
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7 393
17.5%
8 342
15.3%
6 340
15.2%
5 281
12.5%
4 218
9.7%
3 205
9.2%
2 202
9.0%
1 153
 
6.8%
9 83
 
3.7%
0 11
 
0.5%
Other values (6) 12
 
0.5%
ValueCountFrequency (%)
0 11
 
0.5%
1 153
 
6.8%
2 202
9.0%
3 205
9.2%
4 218
9.7%
5 281
12.5%
6 340
15.2%
7 393
17.5%
8 342
15.3%
9 83
 
3.7%
ValueCountFrequency (%)
20 3
 
0.1%
19 2
 
0.1%
17 1
 
< 0.1%
14 2
 
0.1%
13 1
 
< 0.1%
10 3
 
0.1%
9 83
 
3.7%
8 342
15.3%
7 393
17.5%
6 340
15.2%

AcceptedCmp3
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
2077 
1
 
163

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring characters

ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

AcceptedCmp4
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
2073 
1
 
167

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2073
92.5%
1 167
 
7.5%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 2073
92.5%
1 167
 
7.5%

Most occurring characters

ValueCountFrequency (%)
0 2073
92.5%
1 167
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2073
92.5%
1 167
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2073
92.5%
1 167
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2073
92.5%
1 167
 
7.5%

AcceptedCmp5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
2077 
1
 
163

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring characters

ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2077
92.7%
1 163
 
7.3%

AcceptedCmp1
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
2096 
1
 
144

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2096
93.6%
1 144
 
6.4%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 2096
93.6%
1 144
 
6.4%

Most occurring characters

ValueCountFrequency (%)
0 2096
93.6%
1 144
 
6.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2096
93.6%
1 144
 
6.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2096
93.6%
1 144
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2096
93.6%
1 144
 
6.4%

AcceptedCmp2
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
2210 
1
 
30

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2210
98.7%
1 30
 
1.3%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 2210
98.7%
1 30
 
1.3%

Most occurring characters

ValueCountFrequency (%)
0 2210
98.7%
1 30
 
1.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2210
98.7%
1 30
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2210
98.7%
1 30
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2210
98.7%
1 30
 
1.3%

Complain
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
2219 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2219
99.1%
1 21
 
0.9%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 2219
99.1%
1 21
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 2219
99.1%
1 21
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2219
99.1%
1 21
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2219
99.1%
1 21
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2219
99.1%
1 21
 
0.9%

Z_CostContact
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
3
2240 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 2240
100.0%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
3 2240
100.0%

Most occurring characters

ValueCountFrequency (%)
3 2240
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 2240
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 2240
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 2240
100.0%

Z_Revenue
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size129.2 KiB
11
2240 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4480
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 2240
100.0%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
11 2240
100.0%

Most occurring characters

ValueCountFrequency (%)
1 4480
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4480
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 4480
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4480
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 4480
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4480
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 4480
100.0%

Response
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
0
1906 
1
334 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1906
85.1%
1 334
 
14.9%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
0 1906
85.1%
1 334
 
14.9%

Most occurring characters

ValueCountFrequency (%)
0 1906
85.1%
1 334
 
14.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1906
85.1%
1 334
 
14.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1906
85.1%
1 334
 
14.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1906
85.1%
1 334
 
14.9%

Education_Code
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size127.0 KiB
2
1127 
4
486 
3
370 
0
203 
1
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2240
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row4

Common Values

ValueCountFrequency (%)
2 1127
50.3%
4 486
21.7%
3 370
 
16.5%
0 203
 
9.1%
1 54
 
2.4%

Length

length histogram
Histogram of lengths of the category

Common Values (Plot)

Common Values (Plot)
ValueCountFrequency (%)
2 1127
50.3%
4 486
21.7%
3 370
 
16.5%
0 203
 
9.1%
1 54
 
2.4%

Most occurring characters

ValueCountFrequency (%)
2 1127
50.3%
4 486
21.7%
3 370
 
16.5%
0 203
 
9.1%
1 54
 
2.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 1127
50.3%
4 486
21.7%
3 370
 
16.5%
0 203
 
9.1%
1 54
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 1127
50.3%
4 486
21.7%
3 370
 
16.5%
0 203
 
9.1%
1 54
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 1127
50.3%
4 486
21.7%
3 370
 
16.5%
0 203
 
9.1%
1 54
 
2.4%

Marital_Status_Code
Real number (ℝ)

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7299107
Minimum0
Maximum7
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0762771
Coefficient of variation (CV)0.28855306
Kurtosis-0.78061248
Mean3.7299107
Median Absolute Deviation (MAD)1
Skewness0.16731871
Sum8355
Variance1.1583725
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 864
38.6%
5 580
25.9%
4 480
21.4%
2 232
 
10.4%
6 77
 
3.4%
1 3
 
0.1%
0 2
 
0.1%
7 2
 
0.1%
ValueCountFrequency (%)
0 2
 
0.1%
1 3
 
0.1%
2 232
 
10.4%
3 864
38.6%
4 480
21.4%
5 580
25.9%
6 77
 
3.4%
7 2
 
0.1%
ValueCountFrequency (%)
7 2
 
0.1%
6 77
 
3.4%
5 580
25.9%
4 480
21.4%
3 864
38.6%
2 232
 
10.4%
1 3
 
0.1%
0 2
 
0.1%

Age
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.194196
Minimum28
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
Mini histogram

Quantile statistics

Minimum28
5-th percentile36
Q147
median54
Q365
95-th percentile74
Maximum131
Range103
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.984069
Coefficient of variation (CV)0.21712554
Kurtosis0.71746444
Mean55.194196
Median Absolute Deviation (MAD)9
Skewness0.34994386
Sum123635
Variance143.61792
MonotonicityNot monotonic
Histogram
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 89
 
4.0%
53 87
 
3.9%
49 83
 
3.7%
52 79
 
3.5%
46 77
 
3.4%
54 77
 
3.4%
51 74
 
3.3%
59 74
 
3.3%
55 71
 
3.2%
50 69
 
3.1%
Other values (49) 1460
65.2%
ValueCountFrequency (%)
28 2
 
0.1%
29 5
 
0.2%
30 3
 
0.1%
31 5
 
0.2%
32 13
0.6%
33 15
0.7%
34 18
0.8%
35 30
1.3%
36 29
1.3%
37 27
1.2%
ValueCountFrequency (%)
131 1
 
< 0.1%
125 1
 
< 0.1%
124 1
 
< 0.1%
84 1
 
< 0.1%
83 1
 
< 0.1%
81 7
0.3%
80 7
0.3%
79 8
0.4%
78 16
0.7%
77 16
0.7%

Interactions

ID x Age
ID x ID
ID x Year_Birth
ID x Income
ID x Recency
ID x MntWines
ID x MntFruits
ID x MntMeatProducts
ID x MntFishProducts
ID x MntSweetProducts
ID x MntGoldProds
ID x NumDealsPurchases
ID x NumWebPurchases
ID x NumCatalogPurchases
ID x NumStorePurchases
ID x NumWebVisitsMonth
ID x Marital_Status_Code
Year_Birth x Age
Year_Birth x ID
Year_Birth x Year_Birth
Year_Birth x Income
Year_Birth x Recency
Year_Birth x MntWines
Year_Birth x MntFruits
Year_Birth x MntMeatProducts
Year_Birth x MntFishProducts
Year_Birth x MntSweetProducts
Year_Birth x MntGoldProds
Year_Birth x NumDealsPurchases
Year_Birth x NumWebPurchases
Year_Birth x NumCatalogPurchases
Year_Birth x NumStorePurchases
Year_Birth x NumWebVisitsMonth
Year_Birth x Marital_Status_Code
Income x Age
Income x ID
Income x Year_Birth
Income x Income
Income x Recency
Income x MntWines
Income x MntFruits
Income x MntMeatProducts
Income x MntFishProducts
Income x MntSweetProducts
Income x MntGoldProds
Income x NumDealsPurchases
Income x NumWebPurchases
Income x NumCatalogPurchases
Income x NumStorePurchases
Income x NumWebVisitsMonth
Income x Marital_Status_Code
Recency x Age
Recency x ID
Recency x Year_Birth
Recency x Income
Recency x Recency
Recency x MntWines
Recency x MntFruits
Recency x MntMeatProducts
Recency x MntFishProducts
Recency x MntSweetProducts
Recency x MntGoldProds
Recency x NumDealsPurchases
Recency x NumWebPurchases
Recency x NumCatalogPurchases
Recency x NumStorePurchases
Recency x NumWebVisitsMonth
Recency x Marital_Status_Code
MntWines x Age
MntWines x ID
MntWines x Year_Birth
MntWines x Income
MntWines x Recency
MntWines x MntWines
MntWines x MntFruits
MntWines x MntMeatProducts
MntWines x MntFishProducts
MntWines x MntSweetProducts
MntWines x MntGoldProds
MntWines x NumDealsPurchases
MntWines x NumWebPurchases
MntWines x NumCatalogPurchases
MntWines x NumStorePurchases
MntWines x NumWebVisitsMonth
MntWines x Marital_Status_Code
MntFruits x Age
MntFruits x ID
MntFruits x Year_Birth
MntFruits x Income
MntFruits x Recency
MntFruits x MntWines
MntFruits x MntFruits
MntFruits x MntMeatProducts
MntFruits x MntFishProducts
MntFruits x MntSweetProducts
MntFruits x MntGoldProds
MntFruits x NumDealsPurchases
MntFruits x NumWebPurchases
MntFruits x NumCatalogPurchases
MntFruits x NumStorePurchases
MntFruits x NumWebVisitsMonth
MntFruits x Marital_Status_Code
MntMeatProducts x Age
MntMeatProducts x ID
MntMeatProducts x Year_Birth
MntMeatProducts x Income
MntMeatProducts x Recency
MntMeatProducts x MntWines
MntMeatProducts x MntFruits
MntMeatProducts x MntMeatProducts
MntMeatProducts x MntFishProducts
MntMeatProducts x MntSweetProducts
MntMeatProducts x MntGoldProds
MntMeatProducts x NumDealsPurchases
MntMeatProducts x NumWebPurchases
MntMeatProducts x NumCatalogPurchases
MntMeatProducts x NumStorePurchases
MntMeatProducts x NumWebVisitsMonth
MntMeatProducts x Marital_Status_Code
MntFishProducts x Age
MntFishProducts x ID
MntFishProducts x Year_Birth
MntFishProducts x Income
MntFishProducts x Recency
MntFishProducts x MntWines
MntFishProducts x MntFruits
MntFishProducts x MntMeatProducts
MntFishProducts x MntFishProducts
MntFishProducts x MntSweetProducts
MntFishProducts x MntGoldProds
MntFishProducts x NumDealsPurchases
MntFishProducts x NumWebPurchases
MntFishProducts x NumCatalogPurchases
MntFishProducts x NumStorePurchases
MntFishProducts x NumWebVisitsMonth
MntFishProducts x Marital_Status_Code
MntSweetProducts x Age
MntSweetProducts x ID
MntSweetProducts x Year_Birth
MntSweetProducts x Income
MntSweetProducts x Recency
MntSweetProducts x MntWines
MntSweetProducts x MntFruits
MntSweetProducts x MntMeatProducts
MntSweetProducts x MntFishProducts
MntSweetProducts x MntSweetProducts
MntSweetProducts x MntGoldProds
MntSweetProducts x NumDealsPurchases
MntSweetProducts x NumWebPurchases
MntSweetProducts x NumCatalogPurchases
MntSweetProducts x NumStorePurchases
MntSweetProducts x NumWebVisitsMonth
MntSweetProducts x Marital_Status_Code
MntGoldProds x Age
MntGoldProds x ID
MntGoldProds x Year_Birth
MntGoldProds x Income
MntGoldProds x Recency
MntGoldProds x MntWines
MntGoldProds x MntFruits
MntGoldProds x MntMeatProducts
MntGoldProds x MntFishProducts
MntGoldProds x MntSweetProducts
MntGoldProds x MntGoldProds
MntGoldProds x NumDealsPurchases
MntGoldProds x NumWebPurchases
MntGoldProds x NumCatalogPurchases
MntGoldProds x NumStorePurchases
MntGoldProds x NumWebVisitsMonth
MntGoldProds x Marital_Status_Code
NumDealsPurchases x Age
NumDealsPurchases x ID
NumDealsPurchases x Year_Birth
NumDealsPurchases x Income
NumDealsPurchases x Recency
NumDealsPurchases x MntWines
NumDealsPurchases x MntFruits
NumDealsPurchases x MntMeatProducts
NumDealsPurchases x MntFishProducts
NumDealsPurchases x MntSweetProducts
NumDealsPurchases x MntGoldProds
NumDealsPurchases x NumDealsPurchases
NumDealsPurchases x NumWebPurchases
NumDealsPurchases x NumCatalogPurchases
NumDealsPurchases x NumStorePurchases
NumDealsPurchases x NumWebVisitsMonth
NumDealsPurchases x Marital_Status_Code
NumWebPurchases x Age
NumWebPurchases x ID
NumWebPurchases x Year_Birth
NumWebPurchases x Income
NumWebPurchases x Recency
NumWebPurchases x MntWines
NumWebPurchases x MntFruits
NumWebPurchases x MntMeatProducts
NumWebPurchases x MntFishProducts
NumWebPurchases x MntSweetProducts
NumWebPurchases x MntGoldProds
NumWebPurchases x NumDealsPurchases
NumWebPurchases x NumWebPurchases
NumWebPurchases x NumCatalogPurchases
NumWebPurchases x NumStorePurchases
NumWebPurchases x NumWebVisitsMonth
NumWebPurchases x Marital_Status_Code
NumCatalogPurchases x Age
NumCatalogPurchases x ID
NumCatalogPurchases x Year_Birth
NumCatalogPurchases x Income
NumCatalogPurchases x Recency
NumCatalogPurchases x MntWines
NumCatalogPurchases x MntFruits
NumCatalogPurchases x MntMeatProducts
NumCatalogPurchases x MntFishProducts
NumCatalogPurchases x MntSweetProducts
NumCatalogPurchases x MntGoldProds
NumCatalogPurchases x NumDealsPurchases
NumCatalogPurchases x NumWebPurchases
NumCatalogPurchases x NumCatalogPurchases
NumCatalogPurchases x NumStorePurchases
NumCatalogPurchases x NumWebVisitsMonth
NumCatalogPurchases x Marital_Status_Code
NumStorePurchases x Age
NumStorePurchases x ID
NumStorePurchases x Year_Birth
NumStorePurchases x Income
NumStorePurchases x Recency
NumStorePurchases x MntWines
NumStorePurchases x MntFruits
NumStorePurchases x MntMeatProducts
NumStorePurchases x MntFishProducts
NumStorePurchases x MntSweetProducts
NumStorePurchases x MntGoldProds
NumStorePurchases x NumDealsPurchases
NumStorePurchases x NumWebPurchases
NumStorePurchases x NumCatalogPurchases
NumStorePurchases x NumStorePurchases
NumStorePurchases x NumWebVisitsMonth
NumStorePurchases x Marital_Status_Code
NumWebVisitsMonth x Age
NumWebVisitsMonth x ID
NumWebVisitsMonth x Year_Birth
NumWebVisitsMonth x Income
NumWebVisitsMonth x Recency
NumWebVisitsMonth x MntWines
NumWebVisitsMonth x MntFruits
NumWebVisitsMonth x MntMeatProducts
NumWebVisitsMonth x MntFishProducts
NumWebVisitsMonth x MntSweetProducts
NumWebVisitsMonth x MntGoldProds
NumWebVisitsMonth x NumDealsPurchases
NumWebVisitsMonth x NumWebPurchases
NumWebVisitsMonth x NumCatalogPurchases
NumWebVisitsMonth x NumStorePurchases
NumWebVisitsMonth x NumWebVisitsMonth
NumWebVisitsMonth x Marital_Status_Code
Marital_Status_Code x Age
Marital_Status_Code x ID
Marital_Status_Code x Year_Birth
Marital_Status_Code x Income
Marital_Status_Code x Recency
Marital_Status_Code x MntWines
Marital_Status_Code x MntFruits
Marital_Status_Code x MntMeatProducts
Marital_Status_Code x MntFishProducts
Marital_Status_Code x MntSweetProducts
Marital_Status_Code x MntGoldProds
Marital_Status_Code x NumDealsPurchases
Marital_Status_Code x NumWebPurchases
Marital_Status_Code x NumCatalogPurchases
Marital_Status_Code x NumStorePurchases
Marital_Status_Code x NumWebVisitsMonth
Marital_Status_Code x Marital_Status_Code
Age x Age
Age x ID
Age x Year_Birth
Age x Income
Age x Recency
Age x MntWines
Age x MntFruits
Age x MntMeatProducts
Age x MntFishProducts
Age x MntSweetProducts
Age x MntGoldProds
Age x NumDealsPurchases
Age x NumWebPurchases
Age x NumCatalogPurchases
Age x NumStorePurchases
Age x NumWebVisitsMonth
Age x Marital_Status_Code

Correlations

Auto
AcceptedCmp1AcceptedCmp2AcceptedCmp3AcceptedCmp4AcceptedCmp5AgeComplainEducation_CodeIDIncomeKidhomeMarital_Status_CodeMntFishProductsMntFruitsMntGoldProdsMntMeatProductsMntSweetProductsMntWinesNumCatalogPurchasesNumDealsPurchasesNumStorePurchasesNumWebPurchasesNumWebVisitsMonthRecencyResponseTeenhomeYear_Birth
AcceptedCmp11.0000.1660.0890.2470.3990.0060.0000.035-0.0220.3310.182-0.0150.2110.1780.1760.2850.2210.3040.301-0.1730.2010.183-0.194-0.0190.2910.145-0.006
AcceptedCmp20.1661.0000.0610.2840.2130.0130.0000.017-0.0160.1050.0790.019-0.0000.0030.0680.063-0.0010.1380.104-0.0520.0830.037-0.006-0.0020.1630.000-0.013
AcceptedCmp30.0890.0611.0000.0730.074-0.0640.0000.000-0.036-0.0150.030-0.025-0.0240.0090.1390.009-0.0150.0350.104-0.014-0.0830.0330.060-0.0330.2510.0380.064
AcceptedCmp40.2470.2840.0731.0000.3030.0670.0000.048-0.0250.2240.1620.0110.0070.0300.0670.1430.0090.3110.187-0.0020.1990.177-0.0300.0190.1730.026-0.067
AcceptedCmp50.3990.2130.0740.3031.000-0.0150.0000.034-0.0070.3960.2100.0130.2180.2370.1920.3310.2550.3660.324-0.2540.2260.175-0.2750.0010.3240.2050.015
Age0.0060.013-0.0640.067-0.0151.0000.1370.113-0.0030.2170.2210.0440.0310.0250.0770.112-0.0030.2340.1790.0870.1680.164-0.1310.0210.0000.309-1.000
Complain0.0000.0000.0000.0000.0000.1371.0000.0390.034-0.0310.027-0.004-0.029-0.012-0.035-0.025-0.026-0.038-0.0310.017-0.027-0.0220.0250.0130.0000.000-0.009
Education_Code0.0350.0170.0000.0480.0340.1130.0391.000-0.0060.1420.0510.003-0.163-0.160-0.1340.066-0.1640.2320.0870.0260.0860.092-0.054-0.0170.0920.104-0.183
ID-0.022-0.016-0.036-0.025-0.007-0.0030.034-0.0061.0000.0040.0000.016-0.029-0.022-0.042-0.013-0.034-0.026-0.012-0.024-0.023-0.025-0.011-0.0460.0320.0000.003
Income0.3310.105-0.0150.2240.3960.217-0.0310.1420.0041.0000.2860.0050.5770.5820.5060.8170.5670.8300.792-0.1960.7320.573-0.6440.0080.1920.174-0.217
Kidhome0.1820.0790.0300.1620.2100.2210.0270.0510.0000.2861.000-0.016-0.453-0.450-0.426-0.551-0.439-0.580-0.5980.261-0.557-0.4220.4820.0060.0750.0540.259
Marital_Status_Code-0.0150.019-0.0250.0110.0130.044-0.0040.0030.0160.005-0.0161.0000.0270.0040.0170.0250.0140.0130.022-0.034-0.003-0.006-0.0350.0170.1450.073-0.044
MntFishProducts0.211-0.000-0.0240.0070.2180.031-0.029-0.163-0.0290.577-0.4530.0271.0000.7050.5650.7260.7010.5250.657-0.1200.5830.466-0.4580.0130.1310.138-0.031
MntFruits0.1780.0030.0090.0300.2370.025-0.012-0.160-0.0220.582-0.4500.0040.7051.0000.5690.7130.6910.5180.635-0.1100.5830.471-0.4430.0250.1520.121-0.025
MntGoldProds0.1760.0680.1390.0670.1920.077-0.035-0.134-0.0420.506-0.4260.0170.5650.5691.0000.6380.5430.5750.6490.0900.5400.580-0.2610.0180.1380.056-0.077
MntMeatProducts0.2850.0630.0090.1430.3310.112-0.0250.066-0.0130.817-0.5510.0250.7260.7130.6381.0000.6960.8240.852-0.0320.7790.679-0.4920.0280.2430.227-0.112
MntSweetProducts0.221-0.001-0.0150.0090.255-0.003-0.026-0.164-0.0340.567-0.4390.0140.7010.6910.5430.6961.0000.5050.628-0.1060.5810.464-0.4490.0240.1130.1010.003
MntWines0.3040.1380.0350.3110.3660.234-0.0380.232-0.0260.830-0.5800.0130.5250.5180.5750.8240.5051.0000.8230.0570.8070.740-0.3890.0190.2680.117-0.234
NumCatalogPurchases0.3010.1040.1040.1870.3240.179-0.0310.087-0.0120.792-0.5980.0220.6570.6350.6490.8520.6280.8231.000-0.0400.7090.619-0.5360.0310.2190.119-0.179
NumDealsPurchases-0.173-0.052-0.014-0.002-0.2540.0870.0170.026-0.024-0.1960.261-0.034-0.120-0.1100.090-0.032-0.1060.057-0.0401.0000.1000.2840.3980.0080.0960.347-0.087
NumStorePurchases0.2010.083-0.0830.1990.2260.168-0.0270.086-0.0230.732-0.557-0.0030.5830.5830.5400.7790.5810.8070.7090.1001.0000.673-0.4540.0060.1490.085-0.168
NumWebPurchases0.1830.0370.0330.1770.1750.164-0.0220.092-0.0250.573-0.422-0.0060.4660.4710.5800.6790.4640.7400.6190.2840.6731.000-0.097-0.0040.1660.160-0.164
NumWebVisitsMonth-0.194-0.0060.060-0.030-0.275-0.1310.025-0.054-0.011-0.6440.482-0.035-0.458-0.443-0.261-0.492-0.449-0.389-0.5360.398-0.454-0.0971.000-0.0220.1210.2170.131
Recency-0.019-0.002-0.0330.0190.0010.0210.013-0.017-0.0460.0080.0060.0170.0130.0250.0180.0280.0240.0190.0310.0080.006-0.004-0.0221.0000.2080.050-0.021
Response0.2910.1630.2510.1730.3240.0000.0000.0920.0320.1920.0750.1450.1310.1520.1380.2430.1130.2680.2190.0960.1490.1660.1210.2081.0000.1590.021
Teenhome0.1450.0000.0380.0260.2050.3090.0000.1040.0000.1740.0540.0730.1380.1210.0560.2270.1010.1170.1190.3470.0850.1600.2170.0500.1591.000-0.386
Year_Birth-0.006-0.0130.064-0.0670.015-1.000-0.009-0.1830.003-0.2170.259-0.044-0.031-0.025-0.077-0.1120.003-0.234-0.179-0.087-0.168-0.1640.131-0.0210.021-0.3861.000

Missing values

Count
A simple visualization of nullity by column.
Matrix
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

IDYear_BirthIncomeKidhomeTeenhomeDt_CustomerRecencyMntWinesMntFruitsMntMeatProductsMntFishProductsMntSweetProductsMntGoldProdsNumDealsPurchasesNumWebPurchasesNumCatalogPurchasesNumStorePurchasesNumWebVisitsMonthAcceptedCmp3AcceptedCmp4AcceptedCmp5AcceptedCmp1AcceptedCmp2ComplainZ_CostContactZ_RevenueResponseEducation_CodeMarital_Status_CodeAge
05524195758138.0002012-09-045863588546172888838104700000031112467
12174195446344.0112014-03-083811162162112500000031102470
24141196571613.0002013-08-212642649127111214218210400000031102559
36182198426646.0102014-02-10261142010352204600000031102540
45324198158293.0102014-01-1994173431184627155536500000031104343
57446196762513.0012013-09-091652042980421426410600000031103557
6965197155635.0012012-11-1334235651645049274737600000031102253
76177198533454.0102013-05-083276105631232404800000031104339
84855197430351.0102013-06-0619140243321302900000031114550
9589919505648.0112014-03-13682806111311002010000031104574
IDYear_BirthIncomeKidhomeTeenhomeDt_CustomerRecencyMntWinesMntFruitsMntMeatProductsMntFishProductsMntSweetProductsMntGoldProdsNumDealsPurchasesNumWebPurchasesNumCatalogPurchasesNumStorePurchasesNumWebVisitsMonthAcceptedCmp3AcceptedCmp4AcceptedCmp5AcceptedCmp1AcceptedCmp2ComplainZ_CostContactZ_RevenueResponseEducation_CodeMarital_Status_CodeAge
22307004198411012.0102013-03-16822432671233312910000031102440
22319817197044802.0002012-08-21718531014313102029412800000031103454
22328080198626816.0002012-08-17505163431003400000031102438
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